We propose a novel tracer-kinetic model based constrained
reconstruction scheme to enable highly accelerated DCE-MRI. The proposed
approach efficiently leverages information of the contrast agent kinetic
modeling into the reconstruction, and provides a novel alternative to current
constraints that are blind to tracer kinetic modeling.
We develop the frame-work to include constraints derived from the extended-Tofts (e-Tofts) model. We perform noise
sensitivity analysis to determine the accuracy and precision of parameter mapping
with the proposed e-Tofts derived temporal bases. We demonstrate its utility in
retrospectively accelerating brain tumor DCE datasets with different tumor
characteristics.

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